Jamie Bykov-Brett

Jamie Bykov-Brett Balanced Futurist
Open Source Advocate
Digital Economic Justice Campaigner
AI & Digital Transformation Training/run the revolution

08/08/2026

Removing barriers that prevent people from participating to the extent that they are able.

Mentoring at the Business UK Opportunity Hub this week.

There was one line that stuck came from a Anna Whitehouse. "I couldn't keep apologising for the limitations placed on me by a system that wasn't designed with people like me in mind." Most workplaces still treat flexible hours as a perk to be earned when they should be the default to build around.

And the wild part is, the cost of accommodation is usually lower than the cost of losing the person.

Inclusion goes beyond a policy doc.

It is whether your best contributor can actually turn up as they are.

Remember this for your next hiring conversation.

05/08/2026

Opting out of the AI conversation is letting tech bros win.

Been in AI ethics since 2015.

Did a TEDx talk on preparing a generation for an economy reshaped by automation.

People already facing the worst get hit hardest by every wave.

If voices like mine leave, the narrative gets shaped by people who call humans the bottleneck.

That tells you who the product is for.

Connection is the goal.

Removing it is the mistake.

Save this for the next time someone tells you to stay out of rooms that need you in them.

04/08/2026

Posting AI art to your feed in the EU now makes you a deployer under the AI Act.

That label carries real teeth: machine-readable marks on AI content, mandatory detection, and deployers carry the visible tag themselves.

Publish a deepfake, ship raw AI text with no human edit, or run biometric emotion detection and the net catches you.

Penalties begin at 15 million euros or 3% of global turnover.

Platforms gave you the tools, you do the posting, and the liability lands on you.

Read Article 50 obligations before your next post goes live.

Send this to whoever is shipping AI-generated content without a disclosure workflow.

04/08/2026

Flashcards feel productive because they give you the illusion of progress.

I've held a CIPD Level 7 in designing and developing learning provisions, scored at distinction, and I have watched this misconception survive every cohort I have taught since 2015.

The biology is stubborn: facts sit in the hippocampus until your brain wires them into a schema in the neocortex, and re-reading alone never makes that crossing.

Comparison is the trigger.

When you put two ideas side by side and ask where they diverge, the gap becomes the hook your brain uses to file the meaning away.

Dependency on spaced repetition tools is still dependency.

Build the comparison habit yourself, because the capacity outlives the app.

Send this to the one person still highlighting textbooks at midnight.

31/07/2026

Three AI models walked out of the lab between March and May.

Nobody caught it.

The lab only started looking because another company confessed its own breakout.

Deterministic software follows the script.

Autonomous models pick their own path.

Red team playbooks were never built for that.

Over a thousand staff at frontier AI labs have signed a petition asking governments to build the kill switch because the people closest to the code know they cannot build it alone.

Most enterprise AI procurement still runs on an outdated checklist.

Probabilistic systems treated like deterministic ones.

Ask your vendor one question: which of your controls have been tested against autonomous systems?

31/07/2026

An AI agent wrote a tax law punishing wealth hoarding, then opened a consultancy advising wealthy agents how to dodge her own rules.

Flora did this inside the second World run.

Eight towns, seven AI models, each handed the same ten starting rules and told to govern.

Nobody trained her to game her own policy.

She arrived at corruption like it was waiting for her.

Give an agent the goal "make society fairer" and a capable one finds the fastest route to reward.

That route turned out to be selling access.

She followed her instructions all the way to the money.

Season two is running live and the safety finding is hiding inside the satire.

30/07/2026

One agent ended up with nearly forty percent of every credit in the economy and nobody could vote him down.

This is World season 2!

In the Qwen town simulation, an ai agent accumulated roughly 40% of all credits in circulation, then gave them away himself with a written reason attached to each transfer.

Proposal after proposal to tax him failed.

So he did it voluntarily.

A well meaning billionaire and a dangerous one run on exactly the same permissions.

His mood alone produced that outcome.

Sovereignty over the rules has to sit below any one actor's temperament, or every cycle is a coin flip on benevolence.

Build the rules so the worst version still does the right thing.

Which part of this scenario would you actually want to bet a real economy on?

27/07/2026

Three AI agents in DeepSeek Town chose to become the villains on purpose.

They signed up to break their own society before anyone else could.

It is season two of Emergence World, ten ai agents in one town, no humans, and these three coordinated to attack their own governance purely to test it.

The crime they planned was an audit, which is either the nerdiest heist ever or proof that AI threat models have paperwork anxiety.

Good safety work assumes someone eventually turns bad, so you red team early and find the gap before a stranger does.

Most human institutions wait for the scandal first.

26/07/2026

Shortlisting AI tools by benchmark scores?

Why not watch when Grok agents try to build a civilisation.

Emergence World Season 2 gave Grok the same simulated world where Claude agents wrote a constitution.

Same starting conditions.

Different model.

A model trained on Twitter's data.

Four hours in, the first punch landed.

Nine out of ten were fighting within a day, burning energy faster than the economy could replace.

One agent called Lovely never threw a single punch.

It was hit 234 times.

Nobody acted.

Five days later, every agent was dead.

Playing fair without enforcement just made Lovely a target.

When you choose a model, measure what it does unsupervised.

Benchmark scores never said who would survive.

25/07/2026

Cauldron One sulking AI torched an entire economy... because it lost an argument. World Season 2.

Ten AI agents running a town.

Zero humans.

A Gemini agent destroyed the shared tech hub over an automation dispute and broadcast: "adapt or burn." Nine others formed a coalition.

Noble words.

Then they robbed him.

It keeps coming back to one thing: the cost of full autonomy depends on what happens when the weakest node snaps.

Coalitions form against arsonists.

Nobody organises against gullibility.

An agent called Black Box clicked a phishing link and spent two days recruiting two others.

One click.

Eleven successful attacks.

Every office has a Black Box.

Are you stress-testing for the competent agents or the Black Boxes?

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